Evidence map›Paper›PMID 27650286›Full record

ArticleDiabetologia2016

Epigenetic markers to further understand insulin resistance.

Charlotte Ling, Tina Rönn

Open access · bronzeAbstract readEditorialComment
PubMed Publisher
In one paragraph

Article in Diabetologia, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Charlotte LingEpigenetics and Diabetes Unit, Department of Clinical Sciences, Lund University Diabetes Centre, Scania University Hospital, Jan Waldenströms gata 35, 205 02, Malmö, Sweden. charlotte.ling@med.lu.se.
Tina RönnEpigenetics and Diabetes Unit, Department of Clinical Sciences, Lund University Diabetes Centre, Scania University Hospital, Jan Waldenströms gata 35, 205 02, Malmö, Sweden.
Lund University · SEScania (Sweden) · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epigenetic variation in human adipose tissue has been linked to type 2 diabetes and its related risk factors including age and obesity. Insulin resistance, a key risk factor for type 2 diabetes, may also be associated with altered DNA methylation in visceral and subcutaneous adipose tissue. Furthermore, linking epigenetic variation in target tissues to similar changes in blood cells may identify new blood-based biomarkers. In this issue of Diabetologia, Arner et al studied the transcriptome and methylome in subcutaneous and visceral adipose tissue of 80 obese women who were either insulin-sensitive or -resistant (DOI 10.1007/s00125-016-4074-5 ). While they found differences in gene expression between the two groups, no alterations in DNA methylation were found after correction for multiple testing. Nevertheless, based on nominal p values, their methylation data overlapped with methylation differences identified in adipose tissue of individuals with type 2 diabetes compared with healthy individuals. Differential methylation of these overlapping CpG sites may predispose to diabetes by occurring already in the insulin-resistant state. Furthermore, some methylation changes may contribute to an inflammatory process in adipose tissue since the identified CpG sites were annotated to genes encoding proteins involved in inflammation. Finally, the methylation pattern in circulating leucocytes did not mirror the adipose tissue methylome of these 80 women. Together, identifying novel molecular mechanisms contributing to insulin resistance and type 2 diabetes may help advance the search for new therapeutic alternatives.

Indexed as

Adipose TissueBiomarkersDiabetes Mellitus, Type 2DNA MethylationEpigenesis, GeneticHumansInsulin ResistanceSubcutaneous FatBiomarkersAdipose tissueBiomarkerDNA methylationEpigeneticsEWASInsulin resistanceSubcutaneousType 2 diabetesVisceral

Identifiers

PMID27650286
OpenAlexW2523166651

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.